Root Technologies specializes in tackling operational technical debt. This usually consists of complex spreadsheets or access databases with multiple manual human interventions. Often, another manual and labour-intensive review process follows. It’s a very exhaustive process, with limited controls, inaccessible metrics, and poor transparency. Root Technologies provides solutions for all these issues and more.

Reducing Operational Tech Debt

Root Technologies' process begins with mapping existing manual processes and translating these to highly automated and controlled workflows.

This means functionality to manage incoming files/messages, ETL (Extract, Transform, Load) on those files/messages, Workflow, Machine Learning, and Reporting.

Data Load and Transformation

Modern ETL tools are less complex to use than Excel formulae, so Operations users find them easy after years of being an Excel user.

User Defined Workflows

Manual steps are replaced with automated workflow tools so long-running processes can kick off without being dependent on users. Data and results are handed off as soon as available.

Machine Learning

Supervised machine learning models can be trained on existing results. These models can then be used to flag anomalies on a quarterly basis.

Reporting

Comparing results across spreadsheets makes trend reporting, forecasting, and error investigation unnecessarily difficult. Migrating to database solutions allows for greater controls, real-time reporting, and for dashboards to be created for senior management.

Conclusion

Manual processes represent a risk and cost to Insurance and Financial Services companies. Across every team, inefficient methodologies have been grandfathered into BAU/Quarter End. Root Technologies wants to solve this Operational Technical Debt to allow existing employees to focus on higher value-add tasks, reduce costs, and bring more data in real-time to senior management.